Computational tool to improve the information’s quality of the DSO’s geographic database (BDGD) for regulatory purposes
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Paper number
1241
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Mantovani Ricci, Davi , Daimon , Brazil
Baumann, Paulo Henrique , Daimon , Brazil
Romero, Fabio , Daimon , Brazil
MEFFE, ANDRÉ, DAIMON ENGENHARIA E SISTEMAS, Brazil
H. S. G. Jesus, Armando , CEMAR, Brazil
S. Oliveira, Eliezer , CEMAR, Brazil
A. Pinheiro , Lucas, CEMAR, Brazil
Baumann, Paulo Henrique , Daimon , Brazil
Romero, Fabio , Daimon , Brazil
MEFFE, ANDRÉ, DAIMON ENGENHARIA E SISTEMAS, Brazil
H. S. G. Jesus, Armando , CEMAR, Brazil
S. Oliveira, Eliezer , CEMAR, Brazil
A. Pinheiro , Lucas, CEMAR, Brazil
Abstract
This work presents a computational tool whose purpose is to identify anomaly in the information registered in the database of a distribution system operator. This tool has as methodology the application of multiple heuristics to identify incorrect data and estimate the most credible scenario for the context.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/356
http://dx.doi.org/10.34890/582
http://dx.doi.org/10.34890/582
ISSN
2032-9644
ISBN
978-2-9602415-0-1